Ensemble prediction of mean bubble size in a continuous casting mold using data driven modeling techniques

Machine learning for soft and liquid molecular materials

“…Performed models showed the same high efficiency as articial neural network (ANN). 97 Classic ML methods were successfully applied to determine the size of bubbles in real column reactors. 98,99 The discussed approaches require a relatively large dataset of input images.…”